The Goods and Services Tax (GST) reform in India marked a significant shift towards a unified and transparent indirect tax regime. However, with increasing transactional complexity, the system has been plagued by compliance challenges and fraudulent practices such as fake invoicing and input tax credit (ITC) misuse. In recent years, Artificial Intelligence (AI) has emerged as a transformative tool in enhancing GST compliance, automating data reconciliation, and identifying anomalies indicative of fraud. This research investigates the impact of AI tools on GST fraud detection using real-world data from 2018 to 2023. A statistical analysis, including a one-way ANOVA test, reveals a significant reduction in reported fraud cases following the adoption of AI-based monitoring and analytics by tax authorities. The study underscores the potential of AI to strengthen tax enforcement mechanisms, reduce administrative burden, and foster greater transparency within India’s taxation ecosystem. Recommendations are provided for policymakers to promote wider AI adoption, ensure ethical deployment, and enhance data infrastructure within the GST framework